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Joint Encoding/Decoding Algorithm Design Based on Hidden Information for Short-Length LT Codes

Authors: Zilong Zhang; Haiyang Cao;

Joint Encoding/Decoding Algorithm Design Based on Hidden Information for Short-Length LT Codes

Abstract

To handle problems of the low encoding efficiency and the high decoding cost in short-length LT code, a novel joint encoding and decoding optimization method is proposed in this paper. Based on the weighted statistical probability value of original information groups, the encoding optimization algorithm targeting at transmitting original information groups uniformly is presented at the transmitter. And a multi-layer decoding algorithm with vary number of layers, which utilizes the the redundancy information in the stopping set is proposed to achieve a tradeoff between the computation complexity and the redundancy cost at the receiver. Simulation results under different conditions demonstrate that the proposed encoding and decoding optimization method could improve the encoding efficiency significantly and could reduce the decoding overhead effectively.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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